b'Chenliang Li'

research

∙ 09/15/2023

A Bayesian Approach to Robust Inverse Reinforcement Learning

We consider a Bayesian approach to offline model-based inverse reinforce...

0 Ran Wei, et al. ∙

research

∙ 09/02/2023

ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models

Large language models (LLMs) have recently demonstrated remarkable capab...

0 Chenliang Li, et al. ∙

research

∙ 08/07/2023

COPA: Efficient Vision-Language Pre-training Through Collaborative Object- and Patch-Text Alignment

Vision-Language Pre-training (VLP) methods based on object detection enj...

0 Chaoya Jiang, et al. ∙

research

∙ 07/19/2023

Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community

The research field of Information Retrieval (IR) has evolved significant...

0 Qingyao Ai, et al. ∙

research

∙ 07/17/2023

BUS:Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization

Vision Transformer (ViT) based Vision-Language Pre-training (VLP) models...

0 Chaoya Jiang, et al. ∙

research

∙ 07/04/2023

mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Document understanding refers to automatically extract, analyze and comp...

0 Jiabo Ye, et al. ∙

research

∙ 06/29/2023

Multi-Scenario Ranking with Adaptive Feature Learning

Recently, Multi-Scenario Learning (MSL) is widely used in recommendation...

0 Yu Tian, et al. ∙

research

∙ 06/08/2023

A Class of Smoothing Modulus-Based Iterative Method for Solving Implicit Complementarity Problems

In this paper, a class of smoothing modulus-based iterative method was p...

0 Cong Guo, et al. ∙

research

∙ 06/07/2023

Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks

To promote the development of Vision-Language Pre-training (VLP) and mul...

0 Haiyang Xu, et al. ∙

research

∙ 05/17/2023

Unconfounded Propensity Estimation for Unbiased Ranking

The goal of unbiased learning to rank (ULTR) is to leverage implicit use...

0 Dan Luo, et al. ∙

research

∙ 05/03/2023

Transforming Visual Scene Graphs to Image Captions

We propose to Transform Scene Graphs (TSG) into more descriptive caption...

0 Xu Yang, et al. ∙

research

∙ 04/27/2023

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Large language models (LLMs) have demonstrated impressive zero-shot abil...

0 Qinghao Ye, et al. ∙

research

∙ 04/19/2023

On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training

Aspect-based sentiment analysis (ABSA) aims at automatically inferring t...

0 Hao Fei, et al. ∙

research

∙ 04/16/2023

ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human

In this paper, we present ChatPLUG, a Chinese open-domain dialogue syste...

0 Junfeng Tian, et al. ∙

research

∙ 04/03/2023

DiffuRec: A Diffusion Model for Sequential Recommendation

Mainstream solutions to Sequential Recommendation (SR) represent items w...

0 Zihao Li, et al. ∙

research

∙ 02/15/2023

Understanding Expertise through Demonstrations: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning

Offline inverse reinforcement learning (Offline IRL) aims to recover the...

0 Siliang Zeng, et al. ∙

research

∙ 02/01/2023

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video

Recent years have witnessed a big convergence of language, vision, and m...

0 Haiyang Xu, et al. ∙

research

∙ 01/05/2023

Adaptively Clustering Neighbor Elements for Image Captioning

We design a novel global-local Transformer named Ada-ClustFormer (ACF) t...

0 Zihua Wang, et al. ∙

research

∙ 01/05/2023

Learning Trajectory-Word Alignments for Video-Language Tasks

Aligning objects with words plays a critical role in Image-Language BERT...

0 Xu Yang, et al. ∙

research

∙ 10/04/2022

Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees

Inverse reinforcement learning (IRL) aims to recover the reward function...

0 Siliang Zeng, et al. ∙

research

∙ 07/12/2022

Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation

Learning dynamic user preference has become an increasingly important co...

0 Yuhao Yang, et al. ∙

research

∙ 06/27/2022

Bi-VLDoc: Bidirectional Vision-Language Modeling for Visually-Rich Document Understanding

Multi-modal document pre-trained models have proven to be very effective...

0 Chuwei Luo, et al. ∙

research

∙ 06/13/2022

Safe-FinRL: A Low Bias and Variance Deep Reinforcement Learning Implementation for High-Freq Stock Trading

In recent years, many practitioners in quantitative finance have attempt...

0 Zitao Song, et al. ∙

research

∙ 05/28/2022

Automatic Expert Selection for Multi-Scenario and Multi-Task Search

Multi-scenario learning (MSL) enables a service provider to cater for us...

0 Xinyu Zou, et al. ∙

research

∙ 05/24/2022

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections

Large-scale pretrained foundation models have been an emerging paradigm ...

0 Chenliang Li, et al. ∙

research

∙ 05/09/2022

Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation

Session-based recommendation aims to predict items that an anonymous use...

0 Xiaokun Zhang, et al. ∙

research

∙ 05/02/2022

Knowledge Graph Contrastive Learning for Recommendation

Knowledge Graphs (KGs) have been utilized as useful side information to ...

0 Yuhao Yang, et al. ∙

research

∙ 04/12/2022

Recommender May Not Favor Loyal Users

In academic research, recommender systems are often evaluated on benchma...

0 Yitong Ji, et al. ∙

research

∙ 11/17/2021

Achieving Human Parity on Visual Question Answering

The Visual Question Answering (VQA) task utilizes both visual image and ...

0 Ming Yan, et al. ∙

research

∙ 08/21/2021

Grid-VLP: Revisiting Grid Features for Vision-Language Pre-training

Existing approaches to vision-language pre-training (VLP) heavily rely o...

0 Ming Yan, et al. ∙

research

∙ 06/03/2021

E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning

Vision-language pre-training (VLP) on large-scale image-text pairs has a...

0 Haiyang Xu, et al. ∙

research

∙ 05/24/2021

StructuralLM: Structural Pre-training for Form Understanding

Large pre-trained language models achieve state-of-the-art results when ...

0 Chenliang Li, et al. ∙

research

∙ 05/18/2021

Path-based Deep Network for Candidate Item Matching in Recommenders

The large-scale recommender system mainly consists of two stages: matchi...

0 Houyi Li, et al. ∙

research

∙ 03/14/2021

SemVLP: Vision-Language Pre-training by Aligning Semantics at Multiple Levels

Vision-language pre-training (VLP) on large-scale image-text pairs has r...

0 Chenliang Li, et al. ∙

research

∙ 10/21/2020

On Offline Evaluation of Recommender Systems

In academic research, recommender models are often evaluated offline on ...

0 Yitong Ji, et al. ∙

research

∙ 05/28/2020

A Re-visit of the Popularity Baseline in Recommender Systems

Popularity is often included in experimental evaluation to provide a ref...

0 Yitong Ji, et al. ∙

research

∙ 05/21/2020

CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network

In a large recommender system, the products (or items) could be in many ...

0 Cheng Zhao, et al. ∙

research

∙ 05/21/2020

ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance

Most of ranking models are trained only with displayed items (most are h...

0 Zhihong Chen, et al. ∙

research

∙ 04/26/2020

MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization

Recently, large-scale datasets have vastly facilitated the development i...

0 Canwen Xu, et al. ∙

research

∙ 04/14/2020

PALM: Pre-training an Autoencoding Autoregressive Language Model for Context-conditioned Generation

Self-supervised pre-training has emerged as a powerful technique for nat...

0 Bin Bi, et al. ∙

research

∙ 12/31/2019

CASE: Context-Aware Semantic Expansion

In this paper, we define and study a new task called Context-Aware Seman...

0 Jialong Han, et al. ∙

research

∙ 11/10/2019

Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders

Current neural Natural Language Generation (NLG) models cannot handle em...

0 Yu Duan, et al. ∙

research

∙ 09/06/2019

Incorporating External Knowledge into Machine Reading for Generative Question Answering

Commonsense and background knowledge is required for a QA model to answe...

0 Bin Bi, et al. ∙

research

∙ 08/28/2019

Exploiting Multiple Embeddings for Chinese Named Entity Recognition

Identifying the named entities mentioned in text would enrich many seman...

0 Canwen Xu, et al. ∙

research

∙ 07/02/2019

Obj-GloVe: Scene-Based Contextual Object Embedding

Recently, with the prevalence of large-scale image dataset, the co-occur...

0 Canwen Xu, et al. ∙

research

∙ 07/01/2019

A Capsule Network for Recommendation and Explaining What You Like and Dislike

User reviews contain rich semantics towards the preference of users to f...

0 Chenliang Li, et al. ∙

research

∙ 07/01/2019

A Review-Driven Neural Model for Sequential Recommendation

Writing review for a purchased item is a unique channel to express a use...

0 Chenliang Li, et al. ∙

research

∙ 05/09/2019

Targeted Sentiment Analysis: A Data-Driven Categorization

Targeted sentiment analysis (TSA), also known as aspect based sentiment ...

0 Jiaxin Pei, et al. ∙

research

∙ 04/27/2019

Review-Driven Answer Generation for Product-Related Questions in E-Commerce

The users often have many product-related questions before they make a p...

0 Shiqian Chen, et al. ∙

research

∙ 01/21/2019

DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets

In recent years, with the prevalence of social media and smart devices, ...

0 Canwen Xu, et al. ∙

Chenliang Li

Featured Co-authors